Overview

Dataset statistics

Number of variables42
Number of observations99
Missing cells238
Missing cells (%)5.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.3 KiB
Average record size in memory344.0 B

Variable types

Numeric34
Categorical8

Alerts

il_1b_pg_per_mg_TCx has constant value ""Constant
age_at_first_tbi is highly overall correlated with Weight and 2 other fieldsHigh correlation
braak is highly overall correlated with ihc_at8_TCx and 2 other fieldsHigh correlation
a_syn_pg_per_mg_TCx is highly overall correlated with bdnf_pg_per_mg_TCxHigh correlation
ab40_pg_per_mg_TCx is highly overall correlated with ab42_over_ab40_ratio_TCx and 3 other fieldsHigh correlation
ab42_over_ab40_ratio_TCx is highly overall correlated with ab40_pg_per_mg_TCx and 2 other fieldsHigh correlation
ab42_pg_per_mg_TCx is highly overall correlated with ab40_pg_per_mg_TCx and 2 other fieldsHigh correlation
bdnf_pg_per_mg_TCx is highly overall correlated with a_syn_pg_per_mg_TCxHigh correlation
ifn_g_pg_per_mg_TCx is highly overall correlated with mip_1a_pg_per_mg_TCx and 1 other fieldsHigh correlation
ihc_a_beta_TCx is highly overall correlated with ab40_pg_per_mg_TCx and 3 other fieldsHigh correlation
ihc_a_beta_ffpe_TCx is highly overall correlated with ihc_a_beta_TCx and 1 other fieldsHigh correlation
ihc_at8_TCx is highly overall correlated with braak and 3 other fieldsHigh correlation
ihc_at8_ffpe_TCx is highly overall correlated with braak and 3 other fieldsHigh correlation
ihc_tau2_ffpe_TCx is highly overall correlated with ihc_at8_TCx and 1 other fieldsHigh correlation
il_6_pg_per_mg_TCx is highly overall correlated with mcp_1_pg_per_mg_TCxHigh correlation
il_7_pg_per_mg_TCx is highly overall correlated with vegf_pg_per_mg_TCxHigh correlation
mcp_1_pg_per_mg_TCx is highly overall correlated with il_6_pg_per_mg_TCxHigh correlation
mip_1a_pg_per_mg_TCx is highly overall correlated with ifn_g_pg_per_mg_TCx and 1 other fieldsHigh correlation
ptau_ng_per_mg_TCx is highly overall correlated with ptau_over_tau_ratio_TCxHigh correlation
ptau_over_tau_ratio_TCx is highly overall correlated with ab40_pg_per_mg_TCx and 1 other fieldsHigh correlation
rantes_pg_per_mg_TCx is highly overall correlated with ifn_g_pg_per_mg_TCx and 1 other fieldsHigh correlation
tau_ng_per_mg_TCx is highly overall correlated with ab42_over_ab40_ratio_TCxHigh correlation
vegf_pg_per_mg_TCx is highly overall correlated with il_7_pg_per_mg_TCxHigh correlation
Weight is highly overall correlated with age_at_first_tbi and 1 other fieldsHigh correlation
cerad is highly overall correlated with nia_reaganHigh correlation
num_tbi_w_loc is highly overall correlated with age_at_first_tbi and 1 other fieldsHigh correlation
ever_tbi_w_loc is highly overall correlated with age_at_first_tbi and 2 other fieldsHigh correlation
nia_reagan is highly overall correlated with braak and 1 other fieldsHigh correlation
apo_e4_allele has 6 (6.1%) missing valuesMissing
a_syn_pg_per_mg_TCx has 8 (8.1%) missing valuesMissing
ab40_pg_per_mg_TCx has 8 (8.1%) missing valuesMissing
ab42_over_ab40_ratio_TCx has 8 (8.1%) missing valuesMissing
ab42_pg_per_mg_TCx has 8 (8.1%) missing valuesMissing
bdnf_pg_per_mg_TCx has 8 (8.1%) missing valuesMissing
ifn_g_pg_per_mg_TCx has 8 (8.1%) missing valuesMissing
ihc_a_beta_TCx has 8 (8.1%) missing valuesMissing
ihc_a_beta_ffpe_TCx has 8 (8.1%) missing valuesMissing
ihc_a_syn_TCx has 8 (8.1%) missing valuesMissing
ihc_at8_TCx has 8 (8.1%) missing valuesMissing
ihc_at8_ffpe_TCx has 8 (8.1%) missing valuesMissing
ihc_gfap_ffpe_TCx has 8 (8.1%) missing valuesMissing
ihc_iba1_ffpe_TCx has 8 (8.1%) missing valuesMissing
ihc_ptdp_43_ffpe_TCx has 8 (8.1%) missing valuesMissing
ihc_tau2_ffpe_TCx has 8 (8.1%) missing valuesMissing
il_10_pg_per_mg_TCx has 8 (8.1%) missing valuesMissing
il_1b_pg_per_mg_TCx has 8 (8.1%) missing valuesMissing
il_4_pg_per_mg_TCx has 8 (8.1%) missing valuesMissing
il_6_pg_per_mg_TCx has 8 (8.1%) missing valuesMissing
il_7_pg_per_mg_TCx has 8 (8.1%) missing valuesMissing
isoprostane_pg_per_mg_TCx has 8 (8.1%) missing valuesMissing
mcp_1_pg_per_mg_TCx has 8 (8.1%) missing valuesMissing
mip_1a_pg_per_mg_TCx has 8 (8.1%) missing valuesMissing
ptau_ng_per_mg_TCx has 8 (8.1%) missing valuesMissing
ptau_over_tau_ratio_TCx has 8 (8.1%) missing valuesMissing
rantes_pg_per_mg_TCx has 8 (8.1%) missing valuesMissing
tau_ng_per_mg_TCx has 8 (8.1%) missing valuesMissing
tnf_a_pg_per_mg_TCx has 8 (8.1%) missing valuesMissing
vegf_pg_per_mg_TCx has 8 (8.1%) missing valuesMissing
age_at_first_tbi has 53 (53.5%) zerosZeros
braak has 4 (4.0%) zerosZeros
a_syn_pg_per_mg_TCx has 16 (16.2%) zerosZeros
ab40_pg_per_mg_TCx has 18 (18.2%) zerosZeros
ab42_over_ab40_ratio_TCx has 18 (18.2%) zerosZeros
ab42_pg_per_mg_TCx has 13 (13.1%) zerosZeros
bdnf_pg_per_mg_TCx has 16 (16.2%) zerosZeros
ifn_g_pg_per_mg_TCx has 21 (21.2%) zerosZeros
ihc_a_beta_ffpe_TCx has 6 (6.1%) zerosZeros
ihc_at8_ffpe_TCx has 3 (3.0%) zerosZeros
ihc_gfap_ffpe_TCx has 10 (10.1%) zerosZeros
ihc_iba1_ffpe_TCx has 2 (2.0%) zerosZeros
ihc_ptdp_43_ffpe_TCx has 2 (2.0%) zerosZeros
ihc_tau2_ffpe_TCx has 3 (3.0%) zerosZeros
il_10_pg_per_mg_TCx has 38 (38.4%) zerosZeros
il_4_pg_per_mg_TCx has 35 (35.4%) zerosZeros
il_6_pg_per_mg_TCx has 12 (12.1%) zerosZeros
il_7_pg_per_mg_TCx has 11 (11.1%) zerosZeros
isoprostane_pg_per_mg_TCx has 33 (33.3%) zerosZeros
mcp_1_pg_per_mg_TCx has 11 (11.1%) zerosZeros
mip_1a_pg_per_mg_TCx has 11 (11.1%) zerosZeros
ptau_ng_per_mg_TCx has 13 (13.1%) zerosZeros
ptau_over_tau_ratio_TCx has 19 (19.2%) zerosZeros
rantes_pg_per_mg_TCx has 11 (11.1%) zerosZeros
tau_ng_per_mg_TCx has 19 (19.2%) zerosZeros
tnf_a_pg_per_mg_TCx has 48 (48.5%) zerosZeros
vegf_pg_per_mg_TCx has 17 (17.2%) zerosZeros

Reproduction

Analysis started2023-04-18 22:15:57.111534
Analysis finished2023-04-18 22:22:31.614420
Duration6 minutes and 34.5 seconds
Software versionydata-profiling vv4.1.2
Download configurationconfig.json

Variables

age
Real number (ℝ)

Distinct14
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.5151515
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-04-18T22:22:31.745846image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q18
median11
Q312
95-th percentile14
Maximum14
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.0111163
Coefficient of variation (CV)0.42155044
Kurtosis-0.20352485
Mean9.5151515
Median Absolute Deviation (MAD)2
Skewness-1.0233391
Sum942
Variance16.089054
MonotonicityNot monotonic
2023-04-18T22:22:31.972913image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
12 26
26.3%
13 15
15.2%
1 9
 
9.1%
10 8
 
8.1%
14 7
 
7.1%
11 7
 
7.1%
9 6
 
6.1%
8 6
 
6.1%
4 3
 
3.0%
3 3
 
3.0%
Other values (4) 9
 
9.1%
ValueCountFrequency (%)
1 9
9.1%
2 2
 
2.0%
3 3
 
3.0%
4 3
 
3.0%
5 1
 
1.0%
6 3
 
3.0%
7 3
 
3.0%
8 6
6.1%
9 6
6.1%
10 8
8.1%
ValueCountFrequency (%)
14 7
 
7.1%
13 15
15.2%
12 26
26.3%
11 7
 
7.1%
10 8
 
8.1%
9 6
 
6.1%
8 6
 
6.1%
7 3
 
3.0%
6 3
 
3.0%
5 1
 
1.0%

sex
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1
58 
0
41 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters99
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
1 58
58.6%
0 41
41.4%

Length

2023-04-18T22:22:32.208483image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-04-18T22:22:32.470175image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1 58
58.6%
0 41
41.4%

Most occurring characters

ValueCountFrequency (%)
1 58
58.6%
0 41
41.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 99
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 58
58.6%
0 41
41.4%

Most occurring scripts

ValueCountFrequency (%)
Common 99
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 58
58.6%
0 41
41.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 99
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 58
58.6%
0 41
41.4%

apo_e4_allele
Categorical

Distinct2
Distinct (%)2.2%
Missing6
Missing (%)6.1%
Memory size1.5 KiB
0.0
74 
1.0
19 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters279
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 74
74.7%
1.0 19
 
19.2%
(Missing) 6
 
6.1%

Length

2023-04-18T22:22:32.653321image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-04-18T22:22:32.871946image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
0.0 74
79.6%
1.0 19
 
20.4%

Most occurring characters

ValueCountFrequency (%)
0 167
59.9%
. 93
33.3%
1 19
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 186
66.7%
Other Punctuation 93
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 167
89.8%
1 19
 
10.2%
Other Punctuation
ValueCountFrequency (%)
. 93
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 279
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 167
59.9%
. 93
33.3%
1 19
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 279
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 167
59.9%
. 93
33.3%
1 19
 
6.8%

education_years
Real number (ℝ)

Distinct14
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.141414
Minimum6
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-04-18T22:22:33.061197image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile8.9
Q112
median14
Q316
95-th percentile21
Maximum21
Range15
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.18802
Coefficient of variation (CV)0.22543856
Kurtosis0.18982104
Mean14.141414
Median Absolute Deviation (MAD)2
Skewness0.11930056
Sum1400
Variance10.163471
MonotonicityNot monotonic
2023-04-18T22:22:33.275270image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
16 20
20.2%
12 20
20.2%
14 17
17.2%
15 7
 
7.1%
21 7
 
7.1%
17 5
 
5.1%
13 5
 
5.1%
8 4
 
4.0%
10 4
 
4.0%
18 3
 
3.0%
Other values (4) 7
 
7.1%
ValueCountFrequency (%)
6 1
 
1.0%
8 4
 
4.0%
9 3
 
3.0%
10 4
 
4.0%
11 2
 
2.0%
12 20
20.2%
13 5
 
5.1%
14 17
17.2%
15 7
 
7.1%
16 20
20.2%
ValueCountFrequency (%)
21 7
 
7.1%
19 1
 
1.0%
18 3
 
3.0%
17 5
 
5.1%
16 20
20.2%
15 7
 
7.1%
14 17
17.2%
13 5
 
5.1%
12 20
20.2%
11 2
 
2.0%

age_at_first_tbi
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct35
Distinct (%)35.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.222222
Minimum0
Maximum89
Zeros53
Zeros (%)53.5%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-04-18T22:22:33.552941image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q323
95-th percentile88.1
Maximum89
Range89
Interquartile range (IQR)23

Descriptive statistics

Standard deviation30.676241
Coefficient of variation (CV)1.516957
Kurtosis0.27063317
Mean20.222222
Median Absolute Deviation (MAD)0
Skewness1.3619215
Sum2002
Variance941.03175
MonotonicityNot monotonic
2023-04-18T22:22:33.797017image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 53
53.5%
89 5
 
5.1%
12 2
 
2.0%
15 2
 
2.0%
47 2
 
2.0%
16 2
 
2.0%
22 2
 
2.0%
13 2
 
2.0%
23 2
 
2.0%
18 2
 
2.0%
Other values (25) 25
25.3%
ValueCountFrequency (%)
0 53
53.5%
3 1
 
1.0%
6 1
 
1.0%
7 1
 
1.0%
9 1
 
1.0%
10 1
 
1.0%
11 1
 
1.0%
12 2
 
2.0%
13 2
 
2.0%
15 2
 
2.0%
ValueCountFrequency (%)
89 5
5.1%
88 1
 
1.0%
87 1
 
1.0%
86 1
 
1.0%
83 1
 
1.0%
81 1
 
1.0%
80 1
 
1.0%
79 1
 
1.0%
78 1
 
1.0%
75 1
 
1.0%

cerad
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1
32 
0
23 
2
22 
3
22 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters99
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row2
3rd row0
4th row3
5th row2

Common Values

ValueCountFrequency (%)
1 32
32.3%
0 23
23.2%
2 22
22.2%
3 22
22.2%

Length

2023-04-18T22:22:34.028142image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-04-18T22:22:34.273296image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1 32
32.3%
0 23
23.2%
2 22
22.2%
3 22
22.2%

Most occurring characters

ValueCountFrequency (%)
1 32
32.3%
0 23
23.2%
2 22
22.2%
3 22
22.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 99
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 32
32.3%
0 23
23.2%
2 22
22.2%
3 22
22.2%

Most occurring scripts

ValueCountFrequency (%)
Common 99
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 32
32.3%
0 23
23.2%
2 22
22.2%
3 22
22.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 99
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 32
32.3%
0 23
23.2%
2 22
22.2%
3 22
22.2%

num_tbi_w_loc
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
0
53 
1
36 
2
3
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters99
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 53
53.5%
1 36
36.4%
2 8
 
8.1%
3 2
 
2.0%

Length

2023-04-18T22:22:34.486786image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-04-18T22:22:34.757911image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
0 53
53.5%
1 36
36.4%
2 8
 
8.1%
3 2
 
2.0%

Most occurring characters

ValueCountFrequency (%)
0 53
53.5%
1 36
36.4%
2 8
 
8.1%
3 2
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 99
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 53
53.5%
1 36
36.4%
2 8
 
8.1%
3 2
 
2.0%

Most occurring scripts

ValueCountFrequency (%)
Common 99
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 53
53.5%
1 36
36.4%
2 8
 
8.1%
3 2
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 99
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 53
53.5%
1 36
36.4%
2 8
 
8.1%
3 2
 
2.0%

control_set
Real number (ℝ)

Distinct54
Distinct (%)54.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.040404
Minimum1
Maximum55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-04-18T22:22:35.017093image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q114.5
median28
Q341.5
95-th percentile52.1
Maximum55
Range54
Interquartile range (IQR)27

Descriptive statistics

Standard deviation15.862881
Coefficient of variation (CV)0.56571515
Kurtosis-1.177708
Mean28.040404
Median Absolute Deviation (MAD)14
Skewness0.013658449
Sum2776
Variance251.631
MonotonicityNot monotonic
2023-04-18T22:22:35.367474image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31 2
 
2.0%
35 2
 
2.0%
26 2
 
2.0%
48 2
 
2.0%
2 2
 
2.0%
9 2
 
2.0%
24 2
 
2.0%
3 2
 
2.0%
42 2
 
2.0%
51 2
 
2.0%
Other values (44) 79
79.8%
ValueCountFrequency (%)
1 2
2.0%
2 2
2.0%
3 2
2.0%
4 1
1.0%
5 2
2.0%
7 2
2.0%
8 2
2.0%
9 2
2.0%
10 2
2.0%
11 2
2.0%
ValueCountFrequency (%)
55 2
2.0%
54 2
2.0%
53 1
1.0%
52 2
2.0%
51 2
2.0%
50 2
2.0%
49 2
2.0%
48 2
2.0%
47 2
2.0%
46 1
1.0%
Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
0
56 
1
43 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters99
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 56
56.6%
1 43
43.4%

Length

2023-04-18T22:22:35.831782image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-04-18T22:22:36.336759image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
0 56
56.6%
1 43
43.4%

Most occurring characters

ValueCountFrequency (%)
0 56
56.6%
1 43
43.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 99
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 56
56.6%
1 43
43.4%

Most occurring scripts

ValueCountFrequency (%)
Common 99
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 56
56.6%
1 43
43.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 99
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 56
56.6%
1 43
43.4%

ever_tbi_w_loc
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
0
53 
1
46 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters99
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 53
53.5%
1 46
46.5%

Length

2023-04-18T22:22:36.616351image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-04-18T22:22:37.104533image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
0 53
53.5%
1 46
46.5%

Most occurring characters

ValueCountFrequency (%)
0 53
53.5%
1 46
46.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 99
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 53
53.5%
1 46
46.5%

Most occurring scripts

ValueCountFrequency (%)
Common 99
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 53
53.5%
1 46
46.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 99
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 53
53.5%
1 46
46.5%

braak
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct7
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3333333
Minimum0
Maximum6
Zeros4
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-04-18T22:22:37.674366image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum6
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.7437937
Coefficient of variation (CV)0.5231381
Kurtosis-0.95956286
Mean3.3333333
Median Absolute Deviation (MAD)1
Skewness-0.0091655574
Sum330
Variance3.0408163
MonotonicityNot monotonic
2023-04-18T22:22:38.426199image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 26
26.3%
6 15
15.2%
1 14
14.1%
5 14
14.1%
4 13
13.1%
2 13
13.1%
0 4
 
4.0%
ValueCountFrequency (%)
0 4
 
4.0%
1 14
14.1%
2 13
13.1%
3 26
26.3%
4 13
13.1%
5 14
14.1%
6 15
15.2%
ValueCountFrequency (%)
6 15
15.2%
5 14
14.1%
4 13
13.1%
3 26
26.3%
2 13
13.1%
1 14
14.1%
0 4
 
4.0%

nia_reagan
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1
46 
2
29 
3
17 
0

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters99
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row0
4th row2
5th row2

Common Values

ValueCountFrequency (%)
1 46
46.5%
2 29
29.3%
3 17
 
17.2%
0 7
 
7.1%

Length

2023-04-18T22:22:39.157033image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-04-18T22:22:39.605537image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1 46
46.5%
2 29
29.3%
3 17
 
17.2%
0 7
 
7.1%

Most occurring characters

ValueCountFrequency (%)
1 46
46.5%
2 29
29.3%
3 17
 
17.2%
0 7
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 99
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 46
46.5%
2 29
29.3%
3 17
 
17.2%
0 7
 
7.1%

Most occurring scripts

ValueCountFrequency (%)
Common 99
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 46
46.5%
2 29
29.3%
3 17
 
17.2%
0 7
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 99
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 46
46.5%
2 29
29.3%
3 17
 
17.2%
0 7
 
7.1%

a_syn_pg_per_mg_TCx
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct35
Distinct (%)38.5%
Missing8
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean0.10679751
Minimum0
Maximum0.57
Zeros16
Zeros (%)16.2%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-04-18T22:22:40.024024image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.02942425
median0.08
Q30.16
95-th percentile0.345
Maximum0.57
Range0.57
Interquartile range (IQR)0.13057575

Descriptive statistics

Standard deviation0.10964017
Coefficient of variation (CV)1.0266173
Kurtosis3.9118671
Mean0.10679751
Median Absolute Deviation (MAD)0.06
Skewness1.7804565
Sum9.7185735
Variance0.012020968
MonotonicityNot monotonic
2023-04-18T22:22:40.501340image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 16
16.2%
0.08 8
 
8.1%
0.07 6
 
6.1%
0.09 5
 
5.1%
0.17 5
 
5.1%
0.1 4
 
4.0%
0.02 4
 
4.0%
0.04 4
 
4.0%
0.05 3
 
3.0%
0.12 3
 
3.0%
Other values (25) 33
33.3%
(Missing) 8
 
8.1%
ValueCountFrequency (%)
0 16
16.2%
0.02 4
 
4.0%
0.0244175 1
 
1.0%
0.0282155 1
 
1.0%
0.0288485 1
 
1.0%
0.03 3
 
3.0%
0.04 4
 
4.0%
0.05 3
 
3.0%
0.06 2
 
2.0%
0.0655625 1
 
1.0%
ValueCountFrequency (%)
0.57 1
 
1.0%
0.45 1
 
1.0%
0.41 1
 
1.0%
0.38 1
 
1.0%
0.35 1
 
1.0%
0.34 1
 
1.0%
0.27 1
 
1.0%
0.24 1
 
1.0%
0.23 2
2.0%
0.22 3
3.0%

ab40_pg_per_mg_TCx
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct70
Distinct (%)76.9%
Missing8
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean28.190976
Minimum0
Maximum651.53447
Zeros18
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-04-18T22:22:40.996149image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.26915625
median0.60328125
Q32.1112
95-th percentile131.64039
Maximum651.53447
Range651.53447
Interquartile range (IQR)1.8420438

Descriptive statistics

Standard deviation114.0118
Coefficient of variation (CV)4.0442657
Kurtosis23.072085
Mean28.190976
Median Absolute Deviation (MAD)0.60328125
Skewness4.8302021
Sum2565.3788
Variance12998.69
MonotonicityNot monotonic
2023-04-18T22:22:41.504697image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18
 
18.2%
0.546 2
 
2.0%
0.49190625 2
 
2.0%
0.4640625 2
 
2.0%
0.5369 2
 
2.0%
0.1299375 1
 
1.0%
0.60328125 1
 
1.0%
6.75675 1
 
1.0%
0.95596875 1
 
1.0%
0.30628125 1
 
1.0%
Other values (60) 60
60.6%
(Missing) 8
 
8.1%
ValueCountFrequency (%)
0 18
18.2%
0.1299375 1
 
1.0%
0.15778125 1
 
1.0%
0.1911 1
 
1.0%
0.2184 1
 
1.0%
0.259875 1
 
1.0%
0.2784375 1
 
1.0%
0.297 1
 
1.0%
0.30628125 1
 
1.0%
0.3155625 1
 
1.0%
ValueCountFrequency (%)
651.5344688 1
1.0%
632.3965313 1
1.0%
570.5648438 1
1.0%
213.17175 1
1.0%
161.252 1
1.0%
102.0287813 1
1.0%
95.931 1
1.0%
23.99203125 1
1.0%
11.921 1
1.0%
11.8573 1
1.0%

ab42_over_ab40_ratio_TCx
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct74
Distinct (%)81.3%
Missing8
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean145.17677
Minimum0
Maximum1000
Zeros18
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-04-18T22:22:42.061158image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.23615049
median9.1184211
Q3222.3155
95-th percentile615.29891
Maximum1000
Range1000
Interquartile range (IQR)222.07935

Descriptive statistics

Standard deviation230.15179
Coefficient of variation (CV)1.585321
Kurtosis3.1189468
Mean145.17677
Median Absolute Deviation (MAD)9.1184211
Skewness1.8566708
Sum13211.086
Variance52969.847
MonotonicityNot monotonic
2023-04-18T22:22:42.622139image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18
 
18.2%
27.6582294 1
 
1.0%
462.46526 1
 
1.0%
390.016493 1
 
1.0%
53.8301199 1
 
1.0%
0.76607143 1
 
1.0%
379.036579 1
 
1.0%
30.4415876 1
 
1.0%
0.69472503 1
 
1.0%
153.295462 1
 
1.0%
Other values (64) 64
64.6%
(Missing) 8
 
8.1%
ValueCountFrequency (%)
0 18
18.2%
0.0166734 1
 
1.0%
0.03904253 1
 
1.0%
0.04033887 1
 
1.0%
0.23571429 1
 
1.0%
0.2358871 1
 
1.0%
0.23641389 1
 
1.0%
0.27184892 1
 
1.0%
0.29886284 1
 
1.0%
0.36575122 1
 
1.0%
ValueCountFrequency (%)
1000 1
1.0%
940.206772 1
1.0%
838.701828 1
1.0%
655.934927 1
1.0%
621.832418 1
1.0%
608.765393 1
1.0%
606.107816 1
1.0%
519.809506 1
1.0%
476.530844 1
1.0%
462.46526 1
1.0%

ab42_pg_per_mg_TCx
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct78
Distinct (%)85.7%
Missing8
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean215.49694
Minimum0
Maximum570.90735
Zeros13
Zeros (%)13.1%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-04-18T22:22:43.186221image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.21501875
median236.66691
Q3432.26469
95-th percentile478.38594
Maximum570.90735
Range570.90735
Interquartile range (IQR)432.04967

Descriptive statistics

Standard deviation209.75452
Coefficient of variation (CV)0.97335263
Kurtosis-1.7802549
Mean215.49694
Median Absolute Deviation (MAD)229.74185
Skewness0.10814292
Sum19610.222
Variance43996.958
MonotonicityNot monotonic
2023-04-18T22:22:43.611882image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13
 
13.1%
0.1470125 2
 
2.0%
4.36395 1
 
1.0%
2.541825 1
 
1.0%
362.347125 1
 
1.0%
9.3236875 1
 
1.0%
343.49715 1
 
1.0%
0.1934375 1
 
1.0%
439.6370125 1
 
1.0%
236.6669125 1
 
1.0%
Other values (68) 68
68.7%
(Missing) 8
 
8.1%
ValueCountFrequency (%)
0 13
13.1%
0.0077375 1
 
1.0%
0.0232125 1
 
1.0%
0.078225 1
 
1.0%
0.1160625 1
 
1.0%
0.1287 1
 
1.0%
0.1470125 2
 
2.0%
0.160875 1
 
1.0%
0.1779625 1
 
1.0%
0.1934375 1
 
1.0%
ValueCountFrequency (%)
570.90735 1
1.0%
564.5264625 1
1.0%
558.7269188 1
1.0%
480.2279625 1
1.0%
479.9142563 1
1.0%
476.8576313 1
1.0%
476.3187 1
1.0%
470.0526188 1
1.0%
465.797475 1
1.0%
462.4935875 1
1.0%

bdnf_pg_per_mg_TCx
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct35
Distinct (%)38.5%
Missing8
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean0.10679751
Minimum0
Maximum0.57
Zeros16
Zeros (%)16.2%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-04-18T22:22:43.875314image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.02942425
median0.08
Q30.16
95-th percentile0.345
Maximum0.57
Range0.57
Interquartile range (IQR)0.13057575

Descriptive statistics

Standard deviation0.10964017
Coefficient of variation (CV)1.0266173
Kurtosis3.9118671
Mean0.10679751
Median Absolute Deviation (MAD)0.06
Skewness1.7804565
Sum9.7185735
Variance0.012020968
MonotonicityNot monotonic
2023-04-18T22:22:44.155402image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 16
16.2%
0.08 8
 
8.1%
0.07 6
 
6.1%
0.09 5
 
5.1%
0.17 5
 
5.1%
0.1 4
 
4.0%
0.02 4
 
4.0%
0.04 4
 
4.0%
0.05 3
 
3.0%
0.12 3
 
3.0%
Other values (25) 33
33.3%
(Missing) 8
 
8.1%
ValueCountFrequency (%)
0 16
16.2%
0.02 4
 
4.0%
0.0244175 1
 
1.0%
0.0282155 1
 
1.0%
0.0288485 1
 
1.0%
0.03 3
 
3.0%
0.04 4
 
4.0%
0.05 3
 
3.0%
0.06 2
 
2.0%
0.0655625 1
 
1.0%
ValueCountFrequency (%)
0.57 1
 
1.0%
0.45 1
 
1.0%
0.41 1
 
1.0%
0.38 1
 
1.0%
0.35 1
 
1.0%
0.34 1
 
1.0%
0.27 1
 
1.0%
0.24 1
 
1.0%
0.23 2
2.0%
0.22 3
3.0%

ifn_g_pg_per_mg_TCx
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct31
Distinct (%)34.1%
Missing8
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean0.4456044
Minimum0
Maximum4.86
Zeros21
Zeros (%)21.2%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-04-18T22:22:44.432270image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.06
median0.34
Q30.6
95-th percentile1.4
Maximum4.86
Range4.86
Interquartile range (IQR)0.54

Descriptive statistics

Standard deviation0.63442399
Coefficient of variation (CV)1.4237382
Kurtosis26.05485
Mean0.4456044
Median Absolute Deviation (MAD)0.28
Skewness4.2455785
Sum40.55
Variance0.4024938
MonotonicityNot monotonic
2023-04-18T22:22:44.713941image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 21
21.2%
0.06 10
 
10.1%
0.46 8
 
8.1%
0.28 4
 
4.0%
0.6 4
 
4.0%
0.66 4
 
4.0%
0.44 3
 
3.0%
0.34 3
 
3.0%
0.26 3
 
3.0%
0.68 2
 
2.0%
Other values (21) 29
29.3%
(Missing) 8
 
8.1%
ValueCountFrequency (%)
0 21
21.2%
0.06 10
10.1%
0.08 2
 
2.0%
0.14 2
 
2.0%
0.18 1
 
1.0%
0.22 2
 
2.0%
0.26 3
 
3.0%
0.28 4
 
4.0%
0.34 3
 
3.0%
0.36 1
 
1.0%
ValueCountFrequency (%)
4.86 1
1.0%
2.24 1
1.0%
1.66 1
1.0%
1.64 1
1.0%
1.4 2
2.0%
1.22 1
1.0%
1 1
1.0%
0.9 1
1.0%
0.88 1
1.0%
0.84 1
1.0%

ihc_a_beta_TCx
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct91
Distinct (%)100.0%
Missing8
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean0.024167038
Minimum0.0006565487
Maximum0.086581745
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-04-18T22:22:44.993429image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.0006565487
5-th percentile0.0015755239
Q10.0040809939
median0.013747339
Q30.042848537
95-th percentile0.067449256
Maximum0.086581745
Range0.085925197
Interquartile range (IQR)0.038767543

Descriptive statistics

Standard deviation0.023061739
Coefficient of variation (CV)0.95426419
Kurtosis-0.54668124
Mean0.024167038
Median Absolute Deviation (MAD)0.01181163
Skewness0.79147609
Sum2.1992005
Variance0.00053184383
MonotonicityNot monotonic
2023-04-18T22:22:45.278774image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.001809862391 1
 
1.0%
0.01193953763 1
 
1.0%
0.04515097383 1
 
1.0%
0.004181954076 1
 
1.0%
0.05736230312 1
 
1.0%
0.002526473802 1
 
1.0%
0.06326487973 1
 
1.0%
0.004675922566 1
 
1.0%
0.01112998278 1
 
1.0%
0.05543589947 1
 
1.0%
Other values (81) 81
81.8%
(Missing) 8
 
8.1%
ValueCountFrequency (%)
0.0006565486981 1
1.0%
0.0007922974111 1
1.0%
0.0008005262686 1
1.0%
0.0009413432538 1
1.0%
0.00155537423 1
1.0%
0.001595673577 1
1.0%
0.001745385079 1
1.0%
0.001809862391 1
1.0%
0.001832181452 1
1.0%
0.00193683503 1
1.0%
ValueCountFrequency (%)
0.08658174524 1
1.0%
0.07643408999 1
1.0%
0.07191758221 1
1.0%
0.07110403054 1
1.0%
0.06746834844 1
1.0%
0.06743016432 1
1.0%
0.06373704126 1
1.0%
0.06326487973 1
1.0%
0.06181204821 1
1.0%
0.05736230312 1
1.0%

ihc_a_beta_ffpe_TCx
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct86
Distinct (%)94.5%
Missing8
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean0.014456524
Minimum0
Maximum0.069298919
Zeros6
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-04-18T22:22:45.572221image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0058924744
median0.011487826
Q30.02011244
95-th percentile0.03342407
Maximum0.069298919
Range0.069298919
Interquartile range (IQR)0.014219965

Descriptive statistics

Standard deviation0.011741463
Coefficient of variation (CV)0.81219131
Kurtosis4.2229277
Mean0.014456524
Median Absolute Deviation (MAD)0.0069366515
Skewness1.5369324
Sum1.3155436
Variance0.00013786195
MonotonicityNot monotonic
2023-04-18T22:22:45.861909image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.1%
0.006379296229 1
 
1.0%
0.004104722228 1
 
1.0%
0.0269319863 1
 
1.0%
0.003968085582 1
 
1.0%
0.06929891887 1
 
1.0%
0.01699710444 1
 
1.0%
0.01685045225 1
 
1.0%
0.009243320505 1
 
1.0%
0.01621217919 1
 
1.0%
Other values (76) 76
76.8%
(Missing) 8
 
8.1%
ValueCountFrequency (%)
0 6
6.1%
0.001762462052 1
 
1.0%
0.002017182497 1
 
1.0%
0.002185839989 1
 
1.0%
0.002486092768 1
 
1.0%
0.002555663666 1
 
1.0%
0.002603245677 1
 
1.0%
0.002927270702 1
 
1.0%
0.003140537576 1
 
1.0%
0.003292858765 1
 
1.0%
ValueCountFrequency (%)
0.06929891887 1
1.0%
0.04291256092 1
1.0%
0.03991110999 1
1.0%
0.03741851253 1
1.0%
0.03342560943 1
1.0%
0.03342252999 1
1.0%
0.03242275141 1
1.0%
0.03092472402 1
1.0%
0.03048169468 1
1.0%
0.03033015503 1
1.0%

ihc_a_syn_TCx
Real number (ℝ)

Distinct91
Distinct (%)100.0%
Missing8
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean0.00026378164
Minimum2.0929639 × 10-5
Maximum0.010459045
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-04-18T22:22:46.181212image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2.0929639 × 10-5
5-th percentile3.4602103 × 10-5
Q15.5936058 × 10-5
median7.1805833 × 10-5
Q30.0001376787
95-th percentile0.00069325851
Maximum0.010459045
Range0.010438115
Interquartile range (IQR)8.1742644 × 10-5

Descriptive statistics

Standard deviation0.0011041379
Coefficient of variation (CV)4.1858025
Kurtosis83.262604
Mean0.00026378164
Median Absolute Deviation (MAD)2.3416226 × 10-5
Skewness8.9629859
Sum0.02400413
Variance1.2191204 × 10-6
MonotonicityNot monotonic
2023-04-18T22:22:46.482733image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.617132726 × 10-51
 
1.0%
7.165405072 × 10-51
 
1.0%
4.835782766 × 10-51
 
1.0%
9.316638642 × 10-51
 
1.0%
0.0001400340642 1
 
1.0%
6.747259946 × 10-51
 
1.0%
6.594677138 × 10-51
 
1.0%
4.912170672 × 10-51
 
1.0%
0.0006399024272 1
 
1.0%
5.907778222 × 10-51
 
1.0%
Other values (81) 81
81.8%
(Missing) 8
 
8.1%
ValueCountFrequency (%)
2.092963915 × 10-51
1.0%
3.006161939 × 10-51
1.0%
3.051485418 × 10-51
1.0%
3.108417732 × 10-51
1.0%
3.447986802 × 10-51
1.0%
3.472433739 × 10-51
1.0%
4.029094878 × 10-51
1.0%
4.080582663 × 10-51
1.0%
4.109037721 × 10-51
1.0%
4.306847798 × 10-51
1.0%
ValueCountFrequency (%)
0.01045904487 1
1.0%
0.001509603191 1
1.0%
0.001071612531 1
1.0%
0.000772111264 1
1.0%
0.0007466145957 1
1.0%
0.0006399024272 1
1.0%
0.0005581517937 1
1.0%
0.0004647307348 1
1.0%
0.0004149369535 1
1.0%
0.0003632179546 1
1.0%

ihc_at8_TCx
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct91
Distinct (%)100.0%
Missing8
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean0.010585783
Minimum1.8568897 × 10-5
Maximum0.099307476
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-04-18T22:22:46.770053image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.8568897 × 10-5
5-th percentile4.2486683 × 10-5
Q19.1419091 × 10-5
median0.00021437419
Q30.0027273774
95-th percentile0.079781831
Maximum0.099307476
Range0.099288908
Interquartile range (IQR)0.0026359583

Descriptive statistics

Standard deviation0.024876264
Coefficient of variation (CV)2.3499692
Kurtosis5.2793093
Mean0.010585783
Median Absolute Deviation (MAD)0.0001659251
Skewness2.5502387
Sum0.96330628
Variance0.00061882853
MonotonicityNot monotonic
2023-04-18T22:22:47.078065image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.06035625 × 10-51
 
1.0%
0.0004978328405 1
 
1.0%
0.01377548838 1
 
1.0%
8.26365198 × 10-51
 
1.0%
0.0003537978337 1
 
1.0%
0.002234061127 1
 
1.0%
0.001225844734 1
 
1.0%
0.0002618466513 1
 
1.0%
7.473590113 × 10-51
 
1.0%
0.0007949051027 1
 
1.0%
Other values (81) 81
81.8%
(Missing) 8
 
8.1%
ValueCountFrequency (%)
1.856889747 × 10-51
1.0%
3.392889645 × 10-51
1.0%
3.643170724 × 10-51
1.0%
4.124063661 × 10-51
1.0%
4.133293738 × 10-51
1.0%
4.364042849 × 10-51
1.0%
4.844909085 × 10-51
1.0%
5.393438538 × 10-51
1.0%
5.401441923 × 10-51
1.0%
5.417833576 × 10-51
1.0%
ValueCountFrequency (%)
0.09930747645 1
1.0%
0.09726983292 1
1.0%
0.09404563036 1
1.0%
0.0811536639 1
1.0%
0.08042342933 1
1.0%
0.07914023295 1
1.0%
0.07460113132 1
1.0%
0.06560899643 1
1.0%
0.05225233392 1
1.0%
0.05011345892 1
1.0%

ihc_at8_ffpe_TCx
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct89
Distinct (%)97.8%
Missing8
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean0.011208293
Minimum0
Maximum0.054696824
Zeros3
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-04-18T22:22:47.370395image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.00048237199
Q10.0016403483
median0.0044959376
Q30.015874009
95-th percentile0.04115452
Maximum0.054696824
Range0.054696824
Interquartile range (IQR)0.014233661

Descriptive statistics

Standard deviation0.013428793
Coefficient of variation (CV)1.1981123
Kurtosis1.1897248
Mean0.011208293
Median Absolute Deviation (MAD)0.0033111087
Skewness1.4499919
Sum1.0199546
Variance0.00018033249
MonotonicityNot monotonic
2023-04-18T22:22:47.637806image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.0%
0.00147069283 1
 
1.0%
0.001480537361 1
 
1.0%
0.02852583865 1
 
1.0%
0.001409025288 1
 
1.0%
0.002119705885 1
 
1.0%
0.02336801345 1
 
1.0%
0.00173164378 1
 
1.0%
0.002599928784 1
 
1.0%
0.003018022507 1
 
1.0%
Other values (79) 79
79.8%
(Missing) 8
 
8.1%
ValueCountFrequency (%)
0 3
3.0%
0.0004046775812 1
 
1.0%
0.0004647950862 1
 
1.0%
0.0004999488948 1
 
1.0%
0.0008697890308 1
 
1.0%
0.0009299113798 1
 
1.0%
0.001012115391 1
 
1.0%
0.001059717134 1
 
1.0%
0.001184828938 1
 
1.0%
0.001210021698 1
 
1.0%
ValueCountFrequency (%)
0.0546968244 1
1.0%
0.04974242777 1
1.0%
0.04432753952 1
1.0%
0.04253616989 1
1.0%
0.0416226633 1
1.0%
0.04068637659 1
1.0%
0.03806438398 1
1.0%
0.03312606862 1
1.0%
0.03235371886 1
1.0%
0.03176351329 1
1.0%

ihc_gfap_ffpe_TCx
Real number (ℝ)

MISSING  ZEROS 

Distinct82
Distinct (%)90.1%
Missing8
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean0.025544711
Minimum0
Maximum0.071070048
Zeros10
Zeros (%)10.1%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-04-18T22:22:47.920556image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.018193337
median0.024506553
Q30.033472627
95-th percentile0.051349494
Maximum0.071070048
Range0.071070048
Interquartile range (IQR)0.01527929

Descriptive statistics

Standard deviation0.014449087
Coefficient of variation (CV)0.56563911
Kurtosis0.50540049
Mean0.025544711
Median Absolute Deviation (MAD)0.0074009863
Skewness0.3132606
Sum2.3245687
Variance0.00020877613
MonotonicityNot monotonic
2023-04-18T22:22:48.229012image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10
 
10.1%
0.05080423274 1
 
1.0%
0.03382541092 1
 
1.0%
0.02319208978 1
 
1.0%
0.02326173456 1
 
1.0%
0.02486436768 1
 
1.0%
0.02450655342 1
 
1.0%
0.02587010567 1
 
1.0%
0.02453696141 1
 
1.0%
0.03042472294 1
 
1.0%
Other values (72) 72
72.7%
(Missing) 8
 
8.1%
ValueCountFrequency (%)
0 10
10.1%
0.01032595362 1
 
1.0%
0.01089807402 1
 
1.0%
0.01123244227 1
 
1.0%
0.01184687873 1
 
1.0%
0.01243096985 1
 
1.0%
0.01341693539 1
 
1.0%
0.01423747012 1
 
1.0%
0.01515492972 1
 
1.0%
0.01568146708 1
 
1.0%
ValueCountFrequency (%)
0.07107004798 1
1.0%
0.05707572926 1
1.0%
0.05569931039 1
1.0%
0.05295267418 1
1.0%
0.05189475598 1
1.0%
0.05080423274 1
1.0%
0.04739036314 1
1.0%
0.04524618632 1
1.0%
0.0441267216 1
1.0%
0.04341846412 1
1.0%

ihc_iba1_ffpe_TCx
Real number (ℝ)

MISSING  ZEROS 

Distinct90
Distinct (%)98.9%
Missing8
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean0.053865073
Minimum0
Maximum0.10148772
Zeros2
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-04-18T22:22:48.541573image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.020630261
Q10.043813088
median0.055518052
Q30.064762447
95-th percentile0.086785337
Maximum0.10148772
Range0.10148772
Interquartile range (IQR)0.020949358

Descriptive statistics

Standard deviation0.019501008
Coefficient of variation (CV)0.36203438
Kurtosis0.41963383
Mean0.053865073
Median Absolute Deviation (MAD)0.010163908
Skewness-0.30819724
Sum4.9017216
Variance0.00038028931
MonotonicityNot monotonic
2023-04-18T22:22:48.866524image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2
 
2.0%
0.04186949164 1
 
1.0%
0.02891084002 1
 
1.0%
0.05505620228 1
 
1.0%
0.07555325552 1
 
1.0%
0.02110407623 1
 
1.0%
0.07541270328 1
 
1.0%
0.05358944975 1
 
1.0%
0.06396026129 1
 
1.0%
0.05643888292 1
 
1.0%
Other values (80) 80
80.8%
(Missing) 8
 
8.1%
ValueCountFrequency (%)
0 2
2.0%
0.0147943553 1
1.0%
0.017625658 1
1.0%
0.02015644518 1
1.0%
0.02110407623 1
1.0%
0.02416406786 1
1.0%
0.0244487937 1
1.0%
0.02544795176 1
1.0%
0.02891084002 1
1.0%
0.02984386522 1
1.0%
ValueCountFrequency (%)
0.1014877205 1
1.0%
0.09048092592 1
1.0%
0.09035612163 1
1.0%
0.08838410733 1
1.0%
0.08692517297 1
1.0%
0.08664550181 1
1.0%
0.08383940291 1
1.0%
0.07855913043 1
1.0%
0.07805190731 1
1.0%
0.07555325552 1
1.0%

ihc_ptdp_43_ffpe_TCx
Real number (ℝ)

MISSING  ZEROS 

Distinct90
Distinct (%)98.9%
Missing8
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean0.0017481039
Minimum0
Maximum0.0048777386
Zeros2
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-04-18T22:22:49.156065image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.00054702053
Q10.0011313002
median0.0015855052
Q30.002317848
95-th percentile0.0032840003
Maximum0.0048777386
Range0.0048777386
Interquartile range (IQR)0.0011865478

Descriptive statistics

Standard deviation0.00089082245
Coefficient of variation (CV)0.50959353
Kurtosis1.6058809
Mean0.0017481039
Median Absolute Deviation (MAD)0.00051615874
Skewness0.92862219
Sum0.15907746
Variance7.9356464 × 10-7
MonotonicityNot monotonic
2023-04-18T22:22:49.465157image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2
 
2.0%
0.0008893933021 1
 
1.0%
0.003102042677 1
 
1.0%
0.002101890413 1
 
1.0%
0.002167507028 1
 
1.0%
0.002254953359 1
 
1.0%
0.001955957055 1
 
1.0%
0.0005444817159 1
 
1.0%
0.002466222725 1
 
1.0%
0.001534288607 1
 
1.0%
Other values (80) 80
80.8%
(Missing) 8
 
8.1%
ValueCountFrequency (%)
0 2
2.0%
0.0004978514201 1
1.0%
0.0005024864798 1
1.0%
0.0005444817159 1
1.0%
0.0005495593497 1
1.0%
0.0006674875024 1
1.0%
0.0007894698464 1
1.0%
0.0007976715087 1
1.0%
0.0008284669844 1
1.0%
0.0008325991304 1
1.0%
ValueCountFrequency (%)
0.004877738616 1
1.0%
0.004622468315 1
1.0%
0.003681319861 1
1.0%
0.003524993475 1
1.0%
0.003457923734 1
1.0%
0.00311007684 1
1.0%
0.003102042677 1
1.0%
0.003015108244 1
1.0%
0.002819343879 1
1.0%
0.002732694803 1
1.0%

ihc_tau2_ffpe_TCx
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct89
Distinct (%)97.8%
Missing8
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean0.004007367
Minimum0
Maximum0.03795666
Zeros3
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-04-18T22:22:49.757196image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.00098590455
Q10.0015673931
median0.0023722987
Q30.0040157985
95-th percentile0.012062473
Maximum0.03795666
Range0.03795666
Interquartile range (IQR)0.0024484054

Descriptive statistics

Standard deviation0.0050308709
Coefficient of variation (CV)1.2554056
Kurtosis23.267993
Mean0.004007367
Median Absolute Deviation (MAD)0.0010685137
Skewness4.1295845
Sum0.3646704
Variance2.5309662 × 10-5
MonotonicityNot monotonic
2023-04-18T22:22:50.039323image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
3.0%
0.001303784968 1
 
1.0%
0.002900990467 1
 
1.0%
0.004538780545 1
 
1.0%
0.001638135323 1
 
1.0%
0.002109652196 1
 
1.0%
0.002283106134 1
 
1.0%
0.004421612135 1
 
1.0%
0.003956515179 1
 
1.0%
0.002877255677 1
 
1.0%
Other values (79) 79
79.8%
(Missing) 8
 
8.1%
ValueCountFrequency (%)
0 3
3.0%
0.0006899851269 1
 
1.0%
0.0009651273437 1
 
1.0%
0.001006681755 1
 
1.0%
0.001141817709 1
 
1.0%
0.001156356888 1
 
1.0%
0.001194637148 1
 
1.0%
0.001195910915 1
 
1.0%
0.001219335748 1
 
1.0%
0.001253857966 1
 
1.0%
ValueCountFrequency (%)
0.03795665957 1
1.0%
0.01947653996 1
1.0%
0.01347138092 1
1.0%
0.01309710728 1
1.0%
0.01254408484 1
1.0%
0.01158086125 1
1.0%
0.01157349594 1
1.0%
0.01146964493 1
1.0%
0.01021497225 1
1.0%
0.009785199389 1
1.0%

il_10_pg_per_mg_TCx
Real number (ℝ)

MISSING  ZEROS 

Distinct22
Distinct (%)24.2%
Missing8
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean0.15274725
Minimum0
Maximum3.19
Zeros38
Zeros (%)38.4%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-04-18T22:22:50.318479image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.06
Q30.21
95-th percentile0.34
Maximum3.19
Range3.19
Interquartile range (IQR)0.21

Descriptive statistics

Standard deviation0.35238573
Coefficient of variation (CV)2.3069857
Kurtosis62.574098
Mean0.15274725
Median Absolute Deviation (MAD)0.06
Skewness7.3191255
Sum13.9
Variance0.1241757
MonotonicityNot monotonic
2023-04-18T22:22:50.560604image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 38
38.4%
0.32 8
 
8.1%
0.18 6
 
6.1%
0.12 5
 
5.1%
0.1 5
 
5.1%
0.28 4
 
4.0%
0.06 4
 
4.0%
0.3 3
 
3.0%
0.08 2
 
2.0%
0.04 2
 
2.0%
Other values (12) 14
 
14.1%
(Missing) 8
 
8.1%
ValueCountFrequency (%)
0 38
38.4%
0.02 1
 
1.0%
0.04 2
 
2.0%
0.05 1
 
1.0%
0.06 4
 
4.0%
0.08 2
 
2.0%
0.1 5
 
5.1%
0.12 5
 
5.1%
0.14 1
 
1.0%
0.16 2
 
2.0%
ValueCountFrequency (%)
3.19 1
 
1.0%
0.74 1
 
1.0%
0.48 1
 
1.0%
0.38 1
 
1.0%
0.34 2
 
2.0%
0.32 8
8.1%
0.3 3
 
3.0%
0.28 4
4.0%
0.24 1
 
1.0%
0.22 1
 
1.0%

il_1b_pg_per_mg_TCx
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)1.1%
Missing8
Missing (%)8.1%
Memory size1.5 KiB
0.0
91 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters273
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 91
91.9%
(Missing) 8
 
8.1%

Length

2023-04-18T22:22:50.803536image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-04-18T22:22:51.006003image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
0.0 91
100.0%

Most occurring characters

ValueCountFrequency (%)
0 182
66.7%
. 91
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 182
66.7%
Other Punctuation 91
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 182
100.0%
Other Punctuation
ValueCountFrequency (%)
. 91
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 273
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 182
66.7%
. 91
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 273
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 182
66.7%
. 91
33.3%

il_4_pg_per_mg_TCx
Real number (ℝ)

MISSING  ZEROS 

Distinct31
Distinct (%)34.1%
Missing8
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean0.77626374
Minimum0
Maximum4.84
Zeros35
Zeros (%)35.4%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-04-18T22:22:51.195611image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.36
Q31.28
95-th percentile2.68
Maximum4.84
Range4.84
Interquartile range (IQR)1.28

Descriptive statistics

Standard deviation0.9861346
Coefficient of variation (CV)1.2703603
Kurtosis2.5019061
Mean0.77626374
Median Absolute Deviation (MAD)0.36
Skewness1.5316481
Sum70.64
Variance0.97246144
MonotonicityNot monotonic
2023-04-18T22:22:51.476115image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 35
35.4%
0.22 7
 
7.1%
1.96 5
 
5.1%
0.86 4
 
4.0%
2.68 3
 
3.0%
2.32 3
 
3.0%
1.6 2
 
2.0%
0.3 2
 
2.0%
0.48 2
 
2.0%
0.84 2
 
2.0%
Other values (21) 26
26.3%
(Missing) 8
 
8.1%
ValueCountFrequency (%)
0 35
35.4%
0.02 1
 
1.0%
0.22 7
 
7.1%
0.3 2
 
2.0%
0.36 1
 
1.0%
0.38 2
 
2.0%
0.46 1
 
1.0%
0.48 2
 
2.0%
0.54 1
 
1.0%
0.62 1
 
1.0%
ValueCountFrequency (%)
4.84 1
 
1.0%
3.58 1
 
1.0%
2.86 1
 
1.0%
2.68 3
3.0%
2.5 1
 
1.0%
2.32 3
3.0%
1.96 5
5.1%
1.86 1
 
1.0%
1.78 1
 
1.0%
1.6 2
 
2.0%

il_6_pg_per_mg_TCx
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct67
Distinct (%)73.6%
Missing8
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean4.3871429
Minimum0
Maximum68.5
Zeros12
Zeros (%)12.1%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-04-18T22:22:51.749499image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.68
median1.3
Q32.87
95-th percentile22.72
Maximum68.5
Range68.5
Interquartile range (IQR)2.19

Descriptive statistics

Standard deviation11.094563
Coefficient of variation (CV)2.5288813
Kurtosis22.51604
Mean4.3871429
Median Absolute Deviation (MAD)0.9
Skewness4.5966909
Sum399.23
Variance123.08934
MonotonicityNot monotonic
2023-04-18T22:22:52.039091image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12
 
12.1%
0.94 3
 
3.0%
0.32 3
 
3.0%
1.4 3
 
3.0%
0.8 3
 
3.0%
1.84 2
 
2.0%
0.78 2
 
2.0%
2.48 2
 
2.0%
0.86 2
 
2.0%
1.26 2
 
2.0%
Other values (57) 57
57.6%
(Missing) 8
 
8.1%
ValueCountFrequency (%)
0 12
12.1%
0.16 1
 
1.0%
0.2 1
 
1.0%
0.26 1
 
1.0%
0.32 3
 
3.0%
0.46 1
 
1.0%
0.52 1
 
1.0%
0.58 1
 
1.0%
0.6 1
 
1.0%
0.62 1
 
1.0%
ValueCountFrequency (%)
68.5 1
1.0%
65.68 1
1.0%
32.62 1
1.0%
31.32 1
1.0%
30.78 1
1.0%
14.66 1
1.0%
10.02 1
1.0%
8.08 1
1.0%
6.76 1
1.0%
6.26 1
1.0%

il_7_pg_per_mg_TCx
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct78
Distinct (%)85.7%
Missing8
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean13.722527
Minimum0
Maximum32.58
Zeros11
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-04-18T22:22:52.343926image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110.63
median14.1
Q319.43
95-th percentile24.36
Maximum32.58
Range32.58
Interquartile range (IQR)8.8

Descriptive statistics

Standard deviation7.5032532
Coefficient of variation (CV)0.54678361
Kurtosis-0.30580213
Mean13.722527
Median Absolute Deviation (MAD)4.52
Skewness-0.30960623
Sum1248.75
Variance56.298808
MonotonicityNot monotonic
2023-04-18T22:22:52.650281image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11
 
11.1%
12.52 2
 
2.0%
9.5 2
 
2.0%
10.9 2
 
2.0%
24.72 1
 
1.0%
12.22 1
 
1.0%
15.22 1
 
1.0%
4.64 1
 
1.0%
21.26 1
 
1.0%
11 1
 
1.0%
Other values (68) 68
68.7%
(Missing) 8
 
8.1%
ValueCountFrequency (%)
0 11
11.1%
1.12 1
 
1.0%
3.28 1
 
1.0%
3.8 1
 
1.0%
4.64 1
 
1.0%
5.28 1
 
1.0%
6.78 1
 
1.0%
7.26 1
 
1.0%
8.56 1
 
1.0%
9.5 2
 
2.0%
ValueCountFrequency (%)
32.58 1
1.0%
27.44 1
1.0%
25.52 1
1.0%
24.74 1
1.0%
24.72 1
1.0%
24 1
1.0%
23.9 1
1.0%
23.72 1
1.0%
22.76 1
1.0%
22.66 1
1.0%

isoprostane_pg_per_mg_TCx
Real number (ℝ)

MISSING  ZEROS 

Distinct59
Distinct (%)64.8%
Missing8
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean1.8161452
Minimum0
Maximum5.7132078
Zeros33
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-04-18T22:22:52.960401image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.260704
Q32.8297955
95-th percentile4.0317974
Maximum5.7132078
Range5.7132078
Interquartile range (IQR)2.8297955

Descriptive statistics

Standard deviation1.5767501
Coefficient of variation (CV)0.86818501
Kurtosis-0.8367003
Mean1.8161452
Median Absolute Deviation (MAD)1.2331734
Skewness0.23519885
Sum165.26922
Variance2.4861408
MonotonicityNot monotonic
2023-04-18T22:22:53.275393image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 33
33.3%
3.266112911 1
 
1.0%
1.887212232 1
 
1.0%
3.240985717 1
 
1.0%
2.255312612 1
 
1.0%
2.493350563 1
 
1.0%
2.816606287 1
 
1.0%
2.84298467 1
 
1.0%
2.236492153 1
 
1.0%
4.026797835 1
 
1.0%
Other values (49) 49
49.5%
(Missing) 8
 
8.1%
ValueCountFrequency (%)
0 33
33.3%
0.850835097 1
 
1.0%
1.34692104 1
 
1.0%
1.608758874 1
 
1.0%
1.663094499 1
 
1.0%
1.708000271 1
 
1.0%
1.756607449 1
 
1.0%
1.887212232 1
 
1.0%
1.970070225 1
 
1.0%
2.003882099 1
 
1.0%
ValueCountFrequency (%)
5.713207821 1
1.0%
5.40099433 1
1.0%
5.288949116 1
1.0%
4.945018716 1
1.0%
4.036796906 1
1.0%
4.026797835 1
1.0%
3.974078198 1
1.0%
3.969055777 1
1.0%
3.837769166 1
1.0%
3.693687714 1
1.0%

mcp_1_pg_per_mg_TCx
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct68
Distinct (%)74.7%
Missing8
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean29.903736
Minimum0
Maximum261.18
Zeros11
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-04-18T22:22:53.619493image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112.6
median19.36
Q327.32
95-th percentile111.7
Maximum261.18
Range261.18
Interquartile range (IQR)14.72

Descriptive statistics

Standard deviation41.531306
Coefficient of variation (CV)1.3888333
Kurtosis14.398855
Mean29.903736
Median Absolute Deviation (MAD)7.6
Skewness3.5683133
Sum2721.24
Variance1724.8494
MonotonicityNot monotonic
2023-04-18T22:22:54.121396image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11
 
11.1%
24.28 3
 
3.0%
15.96 3
 
3.0%
13.22 2
 
2.0%
27.68 2
 
2.0%
10.14 2
 
2.0%
20.18 2
 
2.0%
19.34 2
 
2.0%
25.62 2
 
2.0%
30.94 2
 
2.0%
Other values (58) 60
60.6%
(Missing) 8
 
8.1%
ValueCountFrequency (%)
0 11
11.1%
5.98 1
 
1.0%
6 1
 
1.0%
6.1 1
 
1.0%
8.6 1
 
1.0%
8.66 1
 
1.0%
8.92 1
 
1.0%
10.04 1
 
1.0%
10.14 2
 
2.0%
10.44 1
 
1.0%
ValueCountFrequency (%)
261.18 1
1.0%
199.42 1
1.0%
167.96 1
1.0%
146.46 1
1.0%
134.7 1
1.0%
88.7 1
1.0%
66.02 1
1.0%
61.8 1
1.0%
59.38 1
1.0%
55.26 1
1.0%

mip_1a_pg_per_mg_TCx
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct73
Distinct (%)80.2%
Missing8
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean14.234835
Minimum0
Maximum441.26
Zeros11
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-04-18T22:22:54.581799image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.87
median8.88
Q313.38
95-th percentile19.54
Maximum441.26
Range441.26
Interquartile range (IQR)7.51

Descriptive statistics

Standard deviation45.648467
Coefficient of variation (CV)3.2068139
Kurtosis87.853556
Mean14.234835
Median Absolute Deviation (MAD)3.68
Skewness9.2947443
Sum1295.37
Variance2083.7825
MonotonicityNot monotonic
2023-04-18T22:22:55.059698image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11
 
11.1%
15.38 2
 
2.0%
13.38 2
 
2.0%
14.78 2
 
2.0%
6.44 2
 
2.0%
2.92 2
 
2.0%
11.48 2
 
2.0%
12.56 2
 
2.0%
8.16 2
 
2.0%
9.56 1
 
1.0%
Other values (63) 63
63.6%
(Missing) 8
 
8.1%
ValueCountFrequency (%)
0 11
11.1%
2.58 1
 
1.0%
2.92 2
 
2.0%
3.98 1
 
1.0%
4.04 1
 
1.0%
4.64 1
 
1.0%
4.7 1
 
1.0%
5.12 1
 
1.0%
5.32 1
 
1.0%
5.5 1
 
1.0%
ValueCountFrequency (%)
441.26 1
1.0%
30.56 1
1.0%
22.82 1
1.0%
22.06 1
1.0%
19.92 1
1.0%
19.16 1
1.0%
18.88 1
1.0%
18.7 1
1.0%
18.02 1
1.0%
17.06 1
1.0%

ptau_ng_per_mg_TCx
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct79
Distinct (%)86.8%
Missing8
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean1.071111
Minimum0
Maximum4.0974866
Zeros13
Zeros (%)13.1%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-04-18T22:22:55.558493image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.4520423
median0.87214714
Q31.4323041
95-th percentile3.1020516
Maximum4.0974866
Range4.0974866
Interquartile range (IQR)0.9802618

Descriptive statistics

Standard deviation0.96708931
Coefficient of variation (CV)0.90288428
Kurtosis2.0470849
Mean1.071111
Median Absolute Deviation (MAD)0.48449582
Skewness1.4527543
Sum97.471104
Variance0.93526174
MonotonicityNot monotonic
2023-04-18T22:22:56.022249image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13
 
13.1%
0.121403025 1
 
1.0%
0.903977325 1
 
1.0%
0.387651319 1
 
1.0%
0.8937558 1
 
1.0%
1.1146842 1
 
1.0%
1.615867875 1
 
1.0%
0.42643485 1
 
1.0%
0.568370588 1
 
1.0%
0.245539181 1
 
1.0%
Other values (69) 69
69.7%
(Missing) 8
 
8.1%
ValueCountFrequency (%)
0 13
13.1%
0.121403025 1
 
1.0%
0.209255231 1
 
1.0%
0.245047613 1
 
1.0%
0.245539181 1
 
1.0%
0.253471219 1
 
1.0%
0.316239525 1
 
1.0%
0.362415825 1
 
1.0%
0.387651319 1
 
1.0%
0.394604663 1
 
1.0%
ValueCountFrequency (%)
4.097486588 1
1.0%
4.075808119 1
1.0%
3.950237194 1
1.0%
3.74609925 1
1.0%
3.474597375 1
1.0%
2.729505825 1
1.0%
2.674901363 1
1.0%
2.669538263 1
1.0%
2.668026431 1
1.0%
2.637256219 1
1.0%

ptau_over_tau_ratio_TCx
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct73
Distinct (%)80.2%
Missing8
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean0.63891193
Minimum0
Maximum3.7118719
Zeros19
Zeros (%)19.2%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-04-18T22:22:56.565609image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.17988057
median0.47246262
Q30.8567232
95-th percentile2.1115156
Maximum3.7118719
Range3.7118719
Interquartile range (IQR)0.67684263

Descriptive statistics

Standard deviation0.69286476
Coefficient of variation (CV)1.0844449
Kurtosis5.8381106
Mean0.63891193
Median Absolute Deviation (MAD)0.35959734
Skewness2.1443564
Sum58.140985
Variance0.48006158
MonotonicityNot monotonic
2023-04-18T22:22:57.008412image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19
 
19.2%
0.07275349 1
 
1.0%
0.50679646 1
 
1.0%
0.46359486 1
 
1.0%
0.27572569 1
 
1.0%
0.66012634 1
 
1.0%
0.66403816 1
 
1.0%
0.25216596 1
 
1.0%
0.3267348 1
 
1.0%
0.57891233 1
 
1.0%
Other values (63) 63
63.6%
(Missing) 8
 
8.1%
ValueCountFrequency (%)
0 19
19.2%
0.07275349 1
 
1.0%
0.15352634 1
 
1.0%
0.15377548 1
 
1.0%
0.15644202 1
 
1.0%
0.20331912 1
 
1.0%
0.21751528 1
 
1.0%
0.24379241 1
 
1.0%
0.25216596 1
 
1.0%
0.27572569 1
 
1.0%
ValueCountFrequency (%)
3.71187191 1
1.0%
3.30577434 1
1.0%
2.35230863 1
1.0%
2.19415846 1
1.0%
2.18339128 1
1.0%
2.03963982 1
1.0%
1.99889809 1
1.0%
1.7489772 1
1.0%
1.43183675 1
1.0%
1.4149456 1
1.0%

rantes_pg_per_mg_TCx
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct81
Distinct (%)89.0%
Missing8
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean46.538132
Minimum0
Maximum337.66
Zeros11
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-04-18T22:22:57.546546image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115.61
median32.66
Q364.71
95-th percentile132.03
Maximum337.66
Range337.66
Interquartile range (IQR)49.1

Descriptive statistics

Standard deviation49.471754
Coefficient of variation (CV)1.063037
Kurtosis13.059069
Mean46.538132
Median Absolute Deviation (MAD)20.12
Skewness2.8759859
Sum4234.97
Variance2447.4545
MonotonicityNot monotonic
2023-04-18T22:22:58.038272image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11
 
11.1%
81.88 1
 
1.0%
134.3 1
 
1.0%
36.4 1
 
1.0%
35.92 1
 
1.0%
47.92 1
 
1.0%
41.08 1
 
1.0%
86.84 1
 
1.0%
24.62 1
 
1.0%
30.6 1
 
1.0%
Other values (71) 71
71.7%
(Missing) 8
 
8.1%
ValueCountFrequency (%)
0 11
11.1%
4.66 1
 
1.0%
9.74 1
 
1.0%
10.04 1
 
1.0%
10.84 1
 
1.0%
12.54 1
 
1.0%
12.96 1
 
1.0%
13.47 1
 
1.0%
13.7 1
 
1.0%
14.48 1
 
1.0%
ValueCountFrequency (%)
337.66 1
1.0%
194.46 1
1.0%
153.78 1
1.0%
151.72 1
1.0%
134.3 1
1.0%
129.76 1
1.0%
114.46 1
1.0%
98 1
1.0%
89.46 1
1.0%
88.54 1
1.0%

tau_ng_per_mg_TCx
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct73
Distinct (%)80.2%
Missing8
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean1.2274244
Minimum0
Maximum1.8208621
Zeros19
Zeros (%)19.2%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-04-18T22:22:58.543227image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.2307291
median1.5029829
Q31.669557
95-th percentile1.7632593
Maximum1.8208621
Range1.8208621
Interquartile range (IQR)0.43882792

Descriptive statistics

Standard deviation0.65277434
Coefficient of variation (CV)0.53182449
Kurtosis-0.15306021
Mean1.2274244
Median Absolute Deviation (MAD)0.17121272
Skewness-1.2625497
Sum111.69562
Variance0.42611434
MonotonicityNot monotonic
2023-04-18T22:22:59.039347image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19
 
19.2%
1.66869015 1
 
1.0%
1.820862075 1
 
1.0%
1.6638806 1
 
1.0%
1.405931063 1
 
1.0%
1.353916288 1
 
1.0%
1.6786448 1
 
1.0%
1.691088113 1
 
1.0%
1.739547125 1
 
1.0%
1.561509888 1
 
1.0%
Other values (63) 63
63.6%
(Missing) 8
 
8.1%
ValueCountFrequency (%)
0 19
19.2%
0.9947055 1
 
1.0%
1.064217 1
 
1.0%
1.201944281 1
 
1.0%
1.221964406 1
 
1.0%
1.239493738 1
 
1.0%
1.25710125 1
 
1.0%
1.331770219 1
 
1.0%
1.335504938 1
 
1.0%
1.338229325 1
 
1.0%
ValueCountFrequency (%)
1.820862075 1
1.0%
1.819324138 1
1.0%
1.785405625 1
1.0%
1.782497525 1
1.0%
1.77584245 1
1.0%
1.7506762 1
1.0%
1.749809363 1
1.0%
1.739547125 1
1.0%
1.736331438 1
1.0%
1.733031863 1
1.0%

tnf_a_pg_per_mg_TCx
Real number (ℝ)

MISSING  ZEROS 

Distinct24
Distinct (%)26.4%
Missing8
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean0.82758242
Minimum0
Maximum7.02
Zeros48
Zeros (%)48.5%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-04-18T22:22:59.610330image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.14
95-th percentile3.69
Maximum7.02
Range7.02
Interquartile range (IQR)1.14

Descriptive statistics

Standard deviation1.3988681
Coefficient of variation (CV)1.6903067
Kurtosis4.9827535
Mean0.82758242
Median Absolute Deviation (MAD)0
Skewness2.1563572
Sum75.31
Variance1.9568319
MonotonicityNot monotonic
2023-04-18T22:23:00.106501image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 48
48.5%
0.26 6
 
6.1%
1.14 5
 
5.1%
2 4
 
4.0%
0.8 3
 
3.0%
0.04 3
 
3.0%
0.5 2
 
2.0%
1.98 2
 
2.0%
1.56 2
 
2.0%
2.86 2
 
2.0%
Other values (14) 14
 
14.1%
(Missing) 8
 
8.1%
ValueCountFrequency (%)
0 48
48.5%
0.02 1
 
1.0%
0.04 3
 
3.0%
0.26 6
 
6.1%
0.5 2
 
2.0%
0.67 1
 
1.0%
0.8 3
 
3.0%
1.14 5
 
5.1%
1.56 2
 
2.0%
1.58 1
 
1.0%
ValueCountFrequency (%)
7.02 1
1.0%
5.36 1
1.0%
4.84 1
1.0%
4.54 1
1.0%
3.7 1
1.0%
3.68 1
1.0%
3.28 1
1.0%
2.86 2
2.0%
2.7 1
1.0%
2.42 1
1.0%

vegf_pg_per_mg_TCx
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct62
Distinct (%)68.1%
Missing8
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean2.1089011
Minimum0
Maximum8.42
Zeros17
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-04-18T22:23:00.478133image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.79
median1.84
Q32.94
95-th percentile5.55
Maximum8.42
Range8.42
Interquartile range (IQR)2.15

Descriptive statistics

Standard deviation1.8315849
Coefficient of variation (CV)0.86850203
Kurtosis1.3529557
Mean2.1089011
Median Absolute Deviation (MAD)1.12
Skewness1.0934658
Sum191.91
Variance3.3547032
MonotonicityNot monotonic
2023-04-18T22:23:00.782978image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17
 
17.2%
2.08 3
 
3.0%
1.64 2
 
2.0%
3.84 2
 
2.0%
3.52 2
 
2.0%
1.54 2
 
2.0%
2.48 2
 
2.0%
0.92 2
 
2.0%
1.7 2
 
2.0%
2.54 2
 
2.0%
Other values (52) 55
55.6%
(Missing) 8
 
8.1%
ValueCountFrequency (%)
0 17
17.2%
0.26 1
 
1.0%
0.3 1
 
1.0%
0.36 1
 
1.0%
0.4 1
 
1.0%
0.54 1
 
1.0%
0.72 1
 
1.0%
0.86 1
 
1.0%
0.9 1
 
1.0%
0.92 2
 
2.0%
ValueCountFrequency (%)
8.42 1
1.0%
7.86 1
1.0%
6.32 1
1.0%
5.7 1
1.0%
5.56 1
1.0%
5.54 1
1.0%
5.5 1
1.0%
5.04 1
1.0%
4.74 1
1.0%
4.5 1
1.0%

Weight
Real number (ℝ)

Distinct69
Distinct (%)69.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.544545
Minimum3.87
Maximum232.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-04-18T22:23:01.079069image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.87
5-th percentile4.641
Q111.45
median24.08
Q359.01
95-th percentile112.977
Maximum232.77
Range228.9
Interquartile range (IQR)47.56

Descriptive statistics

Standard deviation39.574903
Coefficient of variation (CV)1.0267316
Kurtosis6.21513
Mean38.544545
Median Absolute Deviation (MAD)14.92
Skewness2.1352992
Sum3815.91
Variance1566.173
MonotonicityNot monotonic
2023-04-18T22:23:01.658257image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.84 5
 
5.1%
24.39 4
 
4.0%
10.31 4
 
4.0%
69.65 4
 
4.0%
82.9 3
 
3.0%
47.75 2
 
2.0%
18.17 2
 
2.0%
24.08 2
 
2.0%
81.22 2
 
2.0%
4.42 2
 
2.0%
Other values (59) 69
69.7%
ValueCountFrequency (%)
3.87 1
 
1.0%
4.07 1
 
1.0%
4.42 2
 
2.0%
4.47 1
 
1.0%
4.66 1
 
1.0%
5.66 1
 
1.0%
6.73 1
 
1.0%
7.84 5
5.1%
7.94 1
 
1.0%
8.81 2
 
2.0%
ValueCountFrequency (%)
232.77 1
 
1.0%
179.7 1
 
1.0%
133.43 1
 
1.0%
121.14 1
 
1.0%
116.91 1
 
1.0%
112.54 1
 
1.0%
98.17 1
 
1.0%
94.49 1
 
1.0%
84.16 1
 
1.0%
82.9 3
3.0%

Interactions

2023-04-18T22:22:18.635937image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:16:02.118020image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:16:18.036367image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:16:26.193007image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:16:38.465688image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:16:53.218088image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:17:01.387292image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:17:11.238040image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:17:24.653624image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:17:35.154297image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:17:58.453876image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:18:11.420866image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:18:19.424310image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:18:29.438133image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:18:39.265593image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:18:47.535183image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:18:57.106217image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:19:05.775187image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:19:16.037002image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:19:23.593945image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:19:33.614739image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:19:43.356916image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:19:52.979587image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:20:02.325232image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:20:15.818271image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:20:33.788598image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:20:46.939990image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:21:00.457907image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:21:10.280053image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:21:24.376661image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:21:38.937721image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:21:47.829928image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:21:57.476086image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:22:06.217360image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:22:18.850232image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:16:02.370961image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:16:18.291280image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:16:26.435790image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:16:38.714293image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:16:53.437860image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:17:01.593596image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:17:11.457303image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:17:25.353535image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:17:35.372586image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:17:59.103659image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:18:11.641310image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:18:19.770663image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:18:29.688388image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:18:39.640013image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:18:47.780751image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:18:57.440872image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:19:06.024099image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:19:16.254985image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:19:23.810730image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:19:33.840469image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:19:43.716614image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:19:53.211925image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:20:02.797152image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:20:16.382341image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:20:34.162308image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:20:47.319633image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:21:00.849441image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:21:10.510350image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:21:24.797536image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:21:39.293768image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:21:48.214916image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:21:57.701580image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:22:06.587045image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:22:19.079709image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:16:02.699354image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:16:18.529712image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:16:26.668884image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:16:39.076859image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:16:53.700029image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:17:01.816453image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:17:11.683782image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:17:25.770418image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:17:35.694242image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:17:59.749970image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:18:11.879885image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:18:20.147207image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:18:30.220665image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:18:40.024079image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:18:48.002363image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:18:57.819901image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:19:06.263704image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:19:16.476399image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:19:24.051812image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:19:34.090829image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:19:44.084582image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:19:53.461587image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:20:03.302562image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:20:16.620133image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:20:34.752913image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:20:47.699112image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:21:01.211367image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:21:10.752646image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:21:25.164249image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:21:39.680235image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:21:48.574276image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:21:57.938217image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:22:06.965153image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:22:19.277904image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:16:03.009252image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:16:18.766606image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:16:26.880557image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:16:39.381526image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:16:53.906810image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:17:02.006107image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:17:11.888796image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:17:26.123156image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:17:36.083132image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:18:00.383389image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:18:12.081228image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:18:20.445212image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:18:30.484595image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:18:40.356502image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:18:48.227279image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
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2023-04-18T22:21:09.845518image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:21:23.655595image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:21:37.883437image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:21:47.124182image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:21:57.010168image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:22:05.633096image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:22:18.252763image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:22:28.266788image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:16:17.813624image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:16:25.977397image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:16:38.210207image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:16:52.950190image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:17:01.155308image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:17:11.040082image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:17:24.088104image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:17:34.953488image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:17:57.876248image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:18:11.208745image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:18:19.094645image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:18:29.253040image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:18:38.904261image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:18:47.343821image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:18:56.799753image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:19:05.565243image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:19:15.819052image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:19:23.360460image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:19:33.397477image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:19:41.948246image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:19:52.767609image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:20:01.731095image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:20:15.410131image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:20:33.408288image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:20:46.599325image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:21:00.064879image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:21:10.056320image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:21:24.031928image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:21:38.538575image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:21:47.475932image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:21:57.238888image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:22:05.924524image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-04-18T22:22:18.445147image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Correlations

2023-04-18T22:23:02.064098image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ageeducation_yearsage_at_first_tbicontrol_setbraaka_syn_pg_per_mg_TCxab40_pg_per_mg_TCxab42_over_ab40_ratio_TCxab42_pg_per_mg_TCxbdnf_pg_per_mg_TCxifn_g_pg_per_mg_TCxihc_a_beta_TCxihc_a_beta_ffpe_TCxihc_a_syn_TCxihc_at8_TCxihc_at8_ffpe_TCxihc_gfap_ffpe_TCxihc_iba1_ffpe_TCxihc_ptdp_43_ffpe_TCxihc_tau2_ffpe_TCxil_10_pg_per_mg_TCxil_4_pg_per_mg_TCxil_6_pg_per_mg_TCxil_7_pg_per_mg_TCxisoprostane_pg_per_mg_TCxmcp_1_pg_per_mg_TCxmip_1a_pg_per_mg_TCxptau_ng_per_mg_TCxptau_over_tau_ratio_TCxrantes_pg_per_mg_TCxtau_ng_per_mg_TCxtnf_a_pg_per_mg_TCxvegf_pg_per_mg_TCxWeightsexapo_e4_alleleceradnum_tbi_w_locnincds_arda_diagnosisever_tbi_w_locnia_reagan
age1.000-0.1360.096-0.2910.321-0.142-0.063-0.0530.117-0.142-0.1180.1750.2100.0920.2210.2080.142-0.0370.0450.265-0.122-0.100-0.0700.152-0.060-0.118-0.084-0.032-0.086-0.117-0.2910.0370.077-0.2740.2780.3150.2360.0000.0000.0000.149
education_years-0.1361.000-0.0030.016-0.2030.0920.044-0.069-0.0830.0920.069-0.119-0.225-0.101-0.172-0.131-0.185-0.067-0.035-0.1730.2710.0280.0810.0250.0010.1850.1310.1690.2410.1160.0680.0370.0590.0780.2220.0000.2990.0000.1710.0000.262
age_at_first_tbi0.096-0.0031.0000.0340.065-0.162-0.122-0.132-0.124-0.162-0.128-0.010-0.101-0.003-0.069-0.142-0.075-0.065-0.070-0.0810.0690.000-0.062-0.0280.0330.039-0.141-0.028-0.026-0.109-0.0710.0830.002-0.6940.3360.0000.1970.5340.0000.9010.231
control_set-0.2910.0160.0341.000-0.100-0.194-0.110-0.154-0.095-0.194-0.035-0.024-0.0040.161-0.089-0.126-0.0050.237-0.298-0.2200.096-0.089-0.049-0.1650.071-0.076-0.142-0.0640.017-0.2190.018-0.150-0.2140.1360.3900.1960.0000.0000.0000.0000.111
braak0.321-0.2030.065-0.1001.0000.1870.3010.2240.4190.187-0.0950.4700.3990.0220.5700.5570.2040.217-0.0260.370-0.1250.0160.0350.131-0.0040.107-0.0150.3020.1520.047-0.2230.1100.015-0.1460.2900.2590.3630.0000.3210.0000.618
a_syn_pg_per_mg_TCx-0.1420.092-0.162-0.1940.1871.0000.4220.4090.4161.0000.2290.090-0.023-0.1790.1360.129-0.014-0.0680.1780.1440.2070.2340.2150.1300.1640.2690.3480.2790.2930.4160.2210.2210.2080.1360.0000.2680.0000.0000.0000.0000.000
ab40_pg_per_mg_TCx-0.0630.044-0.122-0.1100.3010.4221.0000.5120.7080.4220.2310.5390.354-0.1090.3960.3650.124-0.0390.0340.1620.0640.0050.2750.0770.0990.2710.3600.4870.6180.3900.3040.2300.1150.0640.0000.3130.0000.0000.1450.0000.000
ab42_over_ab40_ratio_TCx-0.053-0.069-0.132-0.1540.2240.4090.5121.0000.7190.4090.2140.3050.220-0.0360.0990.1410.0370.0090.1910.1010.0990.1620.2870.2070.2360.2400.2670.2940.4300.2380.5130.1980.3070.1700.0000.1520.1340.0000.0590.0000.000
ab42_pg_per_mg_TCx0.117-0.083-0.124-0.0950.4190.4160.7080.7191.0000.4160.1500.5790.454-0.1120.4080.3590.0680.003-0.0230.2550.0940.0150.3680.2670.1520.3480.2590.4380.3990.2380.2270.2130.1710.0130.0890.0000.3670.0000.2430.2460.341
bdnf_pg_per_mg_TCx-0.1420.092-0.162-0.1940.1871.0000.4220.4090.4161.0000.2290.090-0.023-0.1790.1360.129-0.014-0.0680.1780.1440.2070.2340.2150.1300.1640.2690.3480.2790.2930.4160.2210.2210.2080.1360.0000.2680.0000.0000.0000.0000.000
ifn_g_pg_per_mg_TCx-0.1180.069-0.128-0.035-0.0950.2290.2310.2140.1500.2291.0000.019-0.107-0.068-0.0750.014-0.1030.1440.044-0.0000.3680.3310.3280.3250.2510.3880.7010.2560.2520.6390.3560.1910.3250.1310.0000.1550.0490.0000.1640.1480.091
ihc_a_beta_TCx0.175-0.119-0.010-0.0240.4700.0900.5390.3050.5790.0900.0191.0000.620-0.0980.6000.4940.2620.014-0.1160.409-0.015-0.0520.155-0.018-0.0820.1270.0450.4080.3070.040-0.0940.081-0.077-0.0480.0000.2230.4350.0000.2350.2260.360
ihc_a_beta_ffpe_TCx0.210-0.225-0.101-0.0040.399-0.0230.3540.2200.454-0.023-0.1070.6201.0000.0860.4680.5950.3500.1270.0080.415-0.186-0.1220.1570.081-0.1490.161-0.0380.2420.155-0.036-0.1340.107-0.046-0.0710.1000.2430.3600.0000.1950.0780.318
ihc_a_syn_TCx0.092-0.101-0.0030.1610.022-0.179-0.109-0.036-0.112-0.179-0.068-0.0980.0861.000-0.052-0.224-0.0420.1020.071-0.179-0.132-0.211-0.060-0.207-0.292-0.109-0.195-0.282-0.199-0.206-0.1490.008-0.1870.1210.0000.0000.1480.0000.0000.0000.162
ihc_at8_TCx0.221-0.172-0.069-0.0890.5700.1360.3960.0990.4080.136-0.0750.6000.468-0.0521.0000.6230.3630.1170.0390.569-0.161-0.1870.041-0.014-0.1080.103-0.0020.2860.1800.105-0.2850.143-0.153-0.0990.1590.3740.2920.0000.3050.2890.294
ihc_at8_ffpe_TCx0.208-0.131-0.142-0.1260.5570.1290.3650.1410.3590.1290.0140.4940.595-0.2240.6231.0000.4690.2020.1710.591-0.0390.0110.0660.1070.0870.0980.1680.3190.2480.182-0.1360.0140.072-0.1150.1750.4730.2630.1290.4050.1680.316
ihc_gfap_ffpe_TCx0.142-0.185-0.075-0.0050.204-0.0140.1240.0370.068-0.014-0.1030.2620.350-0.0420.3630.4691.0000.2420.1470.375-0.069-0.0840.0350.044-0.0410.041-0.1330.0950.060-0.120-0.134-0.0350.029-0.0370.0000.2190.0000.0000.1790.1400.247
ihc_iba1_ffpe_TCx-0.037-0.067-0.0650.2370.217-0.068-0.0390.0090.003-0.0680.1440.0140.1270.1020.1170.2020.2421.000-0.176-0.0560.1140.1060.3090.2240.2120.2140.0760.003-0.0010.0130.006-0.0320.0860.0180.2490.0000.0000.1860.0000.3780.121
ihc_ptdp_43_ffpe_TCx0.045-0.035-0.070-0.298-0.0260.1780.0340.191-0.0230.1780.044-0.1160.0080.0710.0390.1710.147-0.1761.0000.3800.060-0.005-0.052-0.1770.0310.0130.019-0.0560.055-0.007-0.008-0.0140.032-0.0050.0000.0000.0000.0000.0000.1310.000
ihc_tau2_ffpe_TCx0.265-0.173-0.081-0.2200.3700.1440.1620.1010.2550.144-0.0000.4090.415-0.1790.5690.5910.375-0.0560.3801.000-0.142-0.102-0.0610.001-0.0270.0820.0190.1230.0380.096-0.3110.108-0.060-0.1260.0000.3410.2280.0000.2770.0560.232
il_10_pg_per_mg_TCx-0.1220.2710.0690.096-0.1250.2070.0640.0990.0940.2070.368-0.015-0.186-0.132-0.161-0.039-0.0690.1140.060-0.1421.0000.4730.3760.0560.2930.3330.3470.2210.2140.1600.408-0.2170.210-0.0380.0730.0000.0600.0000.0000.0000.282
il_4_pg_per_mg_TCx-0.1000.0280.000-0.0890.0160.2340.0050.1620.0150.2340.331-0.052-0.122-0.211-0.1870.011-0.0840.106-0.005-0.1020.4731.0000.2160.1210.3090.1510.4160.2260.2130.2110.486-0.1010.402-0.0350.0000.0000.1620.3560.0000.0000.123
il_6_pg_per_mg_TCx-0.0700.081-0.062-0.0490.0350.2150.2750.2870.3680.2150.3280.1550.157-0.0600.0410.0660.0350.309-0.052-0.0610.3760.2161.0000.3760.2220.7100.3980.2310.1890.3190.3160.0750.2510.0210.1480.1380.0000.0000.0910.0000.021
il_7_pg_per_mg_TCx0.1520.025-0.028-0.1650.1310.1300.0770.2070.2670.1300.325-0.0180.081-0.207-0.0140.1070.0440.224-0.1770.0010.0560.1210.3761.0000.1050.4830.2460.2240.0460.2430.1740.3050.611-0.0290.0000.0000.0450.1830.0390.2570.096
isoprostane_pg_per_mg_TCx-0.0600.0010.0330.071-0.0040.1640.0990.2360.1520.1640.251-0.082-0.149-0.292-0.1080.087-0.0410.2120.031-0.0270.2930.3090.2220.1051.000-0.0080.2410.2210.2330.2020.372-0.0970.287-0.0150.1730.0000.0000.1720.0000.1170.221
mcp_1_pg_per_mg_TCx-0.1180.1850.039-0.0760.1070.2690.2710.2400.3480.2690.3880.1270.161-0.1090.1030.0980.0410.2140.0130.0820.3330.1510.7100.483-0.0081.0000.4380.2510.1600.4050.1940.2360.290-0.0420.0000.0000.0000.0000.0000.0000.216
mip_1a_pg_per_mg_TCx-0.0840.131-0.141-0.142-0.0150.3480.3600.2670.2590.3480.7010.045-0.038-0.195-0.0020.168-0.1330.0760.0190.0190.3470.4160.3980.2460.2410.4381.0000.2270.2720.8590.3630.1220.2940.0620.0000.0000.0390.0000.0000.0000.000
ptau_ng_per_mg_TCx-0.0320.169-0.028-0.0640.3020.2790.4870.2940.4380.2790.2560.4080.242-0.2820.2860.3190.0950.003-0.0560.1230.2210.2260.2310.2240.2210.2510.2271.0000.8090.1690.2100.1390.2670.0270.0000.3600.1120.0000.3060.0000.204
ptau_over_tau_ratio_TCx-0.0860.241-0.0260.0170.1520.2930.6180.4300.3990.2930.2520.3070.155-0.1990.1800.2480.060-0.0010.0550.0380.2140.2130.1890.0460.2330.1600.2720.8091.0000.2120.3640.1470.2150.0880.0840.3140.0820.0000.2390.0000.153
rantes_pg_per_mg_TCx-0.1170.116-0.109-0.2190.0470.4160.3900.2380.2380.4160.6390.040-0.036-0.2060.1050.182-0.1200.013-0.0070.0960.1600.2110.3190.2430.2020.4050.8590.1690.2121.0000.2760.3020.2190.0540.0760.1430.0000.0000.0000.0000.123
tau_ng_per_mg_TCx-0.2910.068-0.0710.018-0.2230.2210.3040.5130.2270.2210.356-0.094-0.134-0.149-0.285-0.136-0.1340.006-0.008-0.3110.4080.4860.3160.1740.3720.1940.3630.2100.3640.2761.000-0.0820.3500.1480.1140.3430.0330.0000.2260.1080.000
tnf_a_pg_per_mg_TCx0.0370.0370.083-0.1500.1100.2210.2300.1980.2130.2210.1910.0810.1070.0080.1430.014-0.035-0.032-0.0140.108-0.217-0.1010.0750.305-0.0970.2360.1220.1390.1470.302-0.0821.0000.252-0.0040.0000.1650.0330.0000.2490.0960.000
vegf_pg_per_mg_TCx0.0770.0590.002-0.2140.0150.2080.1150.3070.1710.2080.325-0.077-0.046-0.187-0.1530.0720.0290.0860.032-0.0600.2100.4020.2510.6110.2870.2900.2940.2670.2150.2190.3500.2521.000-0.1310.0000.0000.0000.0000.1240.0000.000
Weight-0.2740.078-0.6940.136-0.1460.1360.0640.1700.0130.1360.131-0.048-0.0710.121-0.099-0.115-0.0370.018-0.005-0.126-0.038-0.0350.021-0.029-0.015-0.0420.0620.0270.0880.0540.148-0.004-0.1311.0000.2470.0000.0000.2800.3200.6010.000
sex0.2780.2220.3360.3900.2900.0000.0000.0000.0890.0000.0000.0000.1000.0000.1590.1750.0000.2490.0000.0000.0730.0000.1480.0000.1730.0000.0000.0000.0840.0760.1140.0000.0000.2471.0000.0000.0000.1510.0000.0000.000
apo_e4_allele0.3150.0000.0000.1960.2590.2680.3130.1520.0000.2680.1550.2230.2430.0000.3740.4730.2190.0000.0000.3410.0000.0000.1380.0000.0000.0000.0000.3600.3140.1430.3430.1650.0000.0000.0001.0000.0000.0000.1610.0000.127
cerad0.2360.2990.1970.0000.3630.0000.0000.1340.3670.0000.0490.4350.3600.1480.2920.2630.0000.0000.0000.2280.0600.1620.0000.0450.0000.0000.0390.1120.0820.0000.0330.0330.0000.0000.0000.0001.0000.0000.3340.0000.706
num_tbi_w_loc0.0000.0000.5340.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1290.0000.1860.0000.0000.0000.3560.0000.1830.1720.0000.0000.0000.0000.0000.0000.0000.0000.2800.1510.0000.0001.0000.0000.9900.000
nincds_arda_diagnosis0.0000.1710.0000.0000.3210.0000.1450.0590.2430.0000.1640.2350.1950.0000.3050.4050.1790.0000.0000.2770.0000.0000.0910.0390.0000.0000.0000.3060.2390.0000.2260.2490.1240.3200.0000.1610.3340.0001.0000.0000.319
ever_tbi_w_loc0.0000.0000.9010.0000.0000.0000.0000.0000.2460.0000.1480.2260.0780.0000.2890.1680.1400.3780.1310.0560.0000.0000.0000.2570.1170.0000.0000.0000.0000.0000.1080.0960.0000.6010.0000.0000.0000.9900.0001.0000.000
nia_reagan0.1490.2620.2310.1110.6180.0000.0000.0000.3410.0000.0910.3600.3180.1620.2940.3160.2470.1210.0000.2320.2820.1230.0210.0960.2210.2160.0000.2040.1530.1230.0000.0000.0000.0000.0000.1270.7060.0000.3190.0001.000

Missing values

2023-04-18T22:22:28.708288image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
A simple visualization of nullity by column.
2023-04-18T22:22:29.766450image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-04-18T22:22:30.670898image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

agesexapo_e4_alleleeducation_yearsage_at_first_tbiceradnum_tbi_w_loccontrol_setnincds_arda_diagnosisever_tbi_w_locbraaknia_reagana_syn_pg_per_mg_TCxab40_pg_per_mg_TCxab42_over_ab40_ratio_TCxab42_pg_per_mg_TCxbdnf_pg_per_mg_TCxifn_g_pg_per_mg_TCxihc_a_beta_TCxihc_a_beta_ffpe_TCxihc_a_syn_TCxihc_at8_TCxihc_at8_ffpe_TCxihc_gfap_ffpe_TCxihc_iba1_ffpe_TCxihc_ptdp_43_ffpe_TCxihc_tau2_ffpe_TCxil_10_pg_per_mg_TCxil_1b_pg_per_mg_TCxil_4_pg_per_mg_TCxil_6_pg_per_mg_TCxil_7_pg_per_mg_TCxisoprostane_pg_per_mg_TCxmcp_1_pg_per_mg_TCxmip_1a_pg_per_mg_TCxptau_ng_per_mg_TCxptau_over_tau_ratio_TCxrantes_pg_per_mg_TCxtau_ng_per_mg_TCxtnf_a_pg_per_mg_TCxvegf_pg_per_mg_TCxWeight
0910.0160003100110.1800000.15778127.6582294.3639500.1800000.840.0018100.0063790.0000560.0000610.0018540.0000000.0254480.0019870.0036770.120.01.600.9411.002.66422318.6815.380.1214030.07275381.881.6686900.801.6447.75
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21200.01187015201400.0244180.4936750.4792630.2366000.0244181.640.0090370.0118340.0000460.0000540.0037600.0228660.0869250.0008810.0009653.190.02.861.1515.004.94501917.5914.782.2629601.43183762.781.5804591.621.8717.31
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61100.0166112211210.0200000.4640620.0166730.0077370.0200000.140.0054790.0045720.0000470.0018840.0126180.0370140.0584800.0011700.0013600.180.00.861.4615.723.4938776.007.521.8821061.05416115.001.7854060.004.748.81
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agesexapo_e4_alleleeducation_yearsage_at_first_tbiceradnum_tbi_w_loccontrol_setnincds_arda_diagnosisever_tbi_w_locbraaknia_reagana_syn_pg_per_mg_TCxab40_pg_per_mg_TCxab42_over_ab40_ratio_TCxab42_pg_per_mg_TCxbdnf_pg_per_mg_TCxifn_g_pg_per_mg_TCxihc_a_beta_TCxihc_a_beta_ffpe_TCxihc_a_syn_TCxihc_at8_TCxihc_at8_ffpe_TCxihc_gfap_ffpe_TCxihc_iba1_ffpe_TCxihc_ptdp_43_ffpe_TCxihc_tau2_ffpe_TCxil_10_pg_per_mg_TCxil_1b_pg_per_mg_TCxil_4_pg_per_mg_TCxil_6_pg_per_mg_TCxil_7_pg_per_mg_TCxisoprostane_pg_per_mg_TCxmcp_1_pg_per_mg_TCxmip_1a_pg_per_mg_TCxptau_ng_per_mg_TCxptau_over_tau_ratio_TCxrantes_pg_per_mg_TCxtau_ng_per_mg_TCxtnf_a_pg_per_mg_TCxvegf_pg_per_mg_TCxWeight
89100.0140103000210.080.6218440.2364140.1470120.081.400.0057640.0091150.0000400.0000800.0027480.0284160.0615120.0011750.0011560.180.00.866.7620.582.54425838.7418.880.6079120.358065153.781.6977710.001.54232.77
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91110.0211201410100NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN16.97
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981201.014312161152NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN8.81